23 pages., via online journal, Cultured meat has yet to reach store shelves but is nonetheless a growing issue for consumers, producers, and government regulators, many of whom have taken to social media to discuss it. Using a conceptual framework of social cognitive theory and issues management, this qualitative content analysis investigated social-media discourse surrounding the topic of cultured meat in the United States by describing the content of the discussion in late 2018 and identifying individual influencers and communities of influencers engaged in the discussion. Data were collected from Twitter using listening platform Sysomos MAP. The thematic analysis revealed eight themes: legality and marketing, sustainability, acceptance, business, animal concerns, science and technology, health concerns, and timeline, and indicated that conflicting views and questions about cultured meat exist among conversation participants. Top influencers included philanthropists, government officials, journalists and writers, and animal-welfare advocates. These influencers were grouped into four distinct communities based on interactions with each other and other users. The topics identified in the analysis provide insight into ways in which communicators can enter these conversations, and influencer communities represent groups of users whose broad reach could more easily transmit pro-agriculture messages.
5 pages., Via online magazine., Winner of the 2017 Borlaug cast communication award, Jayson Lusk, shares the three challenges he sees in effectively communicating with the general public as well as some potential solutions.
13 pages., Article #: 3FEA2, via online journal., A multiple indicators, multiple causes, or MIMIC, modeling framework can be used for analyzing a variety of farmer decision-making situations where multiple outcomes are possible. Example applications include analyses of farmer use of multiple information sources, management practices, or technologies. We applied the framework to analyze use of multiple information sources by beef cattle farmers. We provide measures of how farmer demographics, farm characteristics, and risk attitudes influenced farmer use of information from Extension, producer groups, popular press, the U.S. Department of Agriculture, the Internet, and other farmers. Education and greater willingness to take risk positively influenced information use among the farmers we studied. Our process has implications for broader use within Extension.
INTERPAKS, Offers an analysis of the conventional literature on adoption practices and adoptive categories. Examines the theoretical basis, and the empirical validity of adoption categories, as well as the extension worker's reliance on adoption categories for the dissemination of information in development activities and in research. Observation has led to the conclusion that adopter categories which can be empirically identified have been erroneously used in practice while the theory on which they are based is questionable. Draws attention to some of the dysfunctional effects of this largest grouping and the trickle down strategy used in extension for rural development. The analysis calls for a different approach to the categorization of the farming community. The main aim is to start with the people and then categorize the social system according to some important variables which will result in a homogeneous target group being isolated for specific extension activities.
